Multi-sensor Improved Sea-Surface Temperature (MISST) for IOOS - Navy Component

Abstract

Award Number: N000141221311 https://www.ghrsst.org/ LONG-TERM GOALSEnsure that Navy capabilities for a new generation of sea surface temperature products are coordinated with and benefitting from international research and development embodied by the Group for High Resolution Sea Surface Temperature (SST; GHRSST) and domestic capabilities demonstrated in the U.S. Integrated Ocean Observing System (IOOS) regions and applicable to regions around the world. This project is the Navy component of a broad national NOPP/IOOS/NASA MISST for IOOS project led by Chelle Gentemann. The Navy Participants under the ONR funding are Charlie Barron (NRL), James Cummings (NRL), Bruce McKenzie (NAVOCEANO), and Doug May (NAVOCEANO). OBJECTIVESThe overarching objectives in MISST for IOOS are to continue producing GHRSST compliant satellite SSTs from existing and new sensors and to produce multi-sensor blended gap-free SSTs from US and international GHRSST datasets. The objectives of the Navy component are to coordinate Navy research and development with GHRSST through complementary tasks and interaction at the annual meetings, use of GHRSST data sets for assimilation and validation, and intercomparison of Navy and other GHRSST products. The Navy participants have work elements that support the five MISST for IOOS project tasks:1. Computation of sensor-specific observational error characteristics required for optimal application and data fusion techniques.2. Parameterization of IR and MW retrieval differences, with consideration of diurnal warming and cool-skin effects required for multi-sensor blending.3. Retrospective reanalysis, continued NRT production, and dissemination of sensor-specific SST products with associated retrieval confidence, standard deviation (STD), and diurnal warming estimates to the application user community in the new GDS 2.0 GHRSST format.4. Retrospective reanalysis, continued NRT production, and dissemination of improved multisensor high-resolution SST analyses in the new GDS 2.0 format, to demonstrate and optimize utility in IOOS and operational applications.